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cleerlyhealth
Страна
США
Зарплата
129 000 $ – 152 000 $
+500% приглашений

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Software Engineer III

Оценка ИИ

Высокий балл обусловлен сильным финансированием компании (Series C), социально значимой миссией и прозрачной структурой компенсации с бонусами. Удаленный формат работы и современный стек технологий делают вакансию очень привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в MLOps, облачной инфраструктуре и работе с медицинскими данными, что повышает порог входа. Необходимо умение работать в регулируемой среде (HIPAA) и опыт масштабирования AI-сервисов.

Анализ зарплаты

Медиана155 000 $
Рынок135 000 $ – 185 000 $
Оценка ИИ

Предложенная зарплата ($129k - $152k) находится в пределах рыночной нормы для уровня Senior/Engineer III в США, хотя верхняя граница чуть ниже медианы для топовых технологических хабов. Однако с учетом целевого бонуса 15% (TTC до $168k) предложение становится конкурентоспособным.

Сопроводительное письмо

I am writing to express my strong interest in the Software Engineer III position at Cleerly. With over 6 years of experience in software engineering and a deep focus on AI production systems, I am excited about the opportunity to contribute to your mission of revolutionizing heart disease diagnosis. My background in building scalable Python-based services and managing MLOps orchestration with Docker and Kubernetes aligns perfectly with the requirements of your Computational Imaging team.

In my previous roles, I have successfully deployed complex machine learning pipelines and optimized data services using PostgreSQL and Redis. I am particularly drawn to Cleerly's commitment to excellence and accountability, and I am eager to apply my expertise in RESTful web services and system observability to ensure the high availability of your regulated AI algorithms. I look forward to the possibility of discussing how my technical skills and passion for healthcare innovation can support Cleerly's continued growth.

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Присоединяйтесь к Cleerly, чтобы создавать инновационные AI-решения, спасающие жизни, и развивать свою карьеру в HealthTech!

Описание вакансии

About Cleerly

We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.

Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks.

At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.

While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.

About the Opportunity

We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

  • Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
  • Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability.
  • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
  • Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack.
  • Uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
  • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
  • Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
  • 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
  • Demonstrable capability in designing, implementing, and securing RESTful web services
  • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
  • Experience with AWS, GitHub, and continuous integration pipelines
  • Proven track record of delivering scalable systems in production environments.
  • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
  • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
  • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

  • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
  • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

*OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.*We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

The base salary range for this role varies by location and is aligned to market benchmarks.

  • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locationsrepresent the low to middle end of the range.
  • Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salaryand Total Target Compensation (TTC) ranges:

  • Base Salary:*$129,000 - $152,000*
  • TTC:*$142,000 - $168,000*

\*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Working at Cleerly takes HEART. Discover our Core Values:

  • H: Humility- be a servant leader
  • E: Excellence- deliver world-changing results
  • A: Accountability- do what you say; expect the same from others
  • R: Remarkable- inspire & innovate with impact
  • T: Teamwork- together we win

Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.

*OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.*

For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy)). All official emails will come from @cleerlyhealth.com email accounts.

#Cleerly

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Навыки

  • AWS
  • Python
  • GitHub
  • PyTorch
  • SQL
  • Kubernetes
  • CI/CD
  • PostgreSQL
  • Computer Vision
  • Deep Learning
  • MLOps
  • Redis
  • Docker
  • NoSQL
  • RESTful API

Возможные вопросы на собеседовании

Проверка опыта работы с основным стеком и понимания жизненного цикла ML-моделей.

Расскажите о вашем опыте развертывания PyTorch моделей в продакшн: с какими основными трудностями вы сталкивались при масштабировании?

Оценка навыков проектирования систем и понимания микросервисной архитектуры.

Как бы вы спроектировали отказоустойчивый API для обработки медицинских изображений в реальном времени с использованием Kubernetes?

Важно для работы в HealthTech, где точность и соответствие стандартам критичны.

Был ли у вас опыт работы в регулируемых средах (например, HIPAA)? Как это влияло на ваши процессы разработки и тестирования?

Проверка навыков работы с данными и оптимизации производительности.

В каких случаях вы бы предпочли Redis вместо PostgreSQL для хранения метаданных в пайплайне обработки изображений?

Оценка навыков мониторинга и поддержки систем.

Опишите ваш подход к обеспечению наблюдаемости (observability) в распределенных системах. Какие метрики вы считаете ключевыми для AI-сервисов?

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cleerlyhealth
Страна
США
Зарплата
129 000 $ – 152 000 $